Senior Machine Learning Engineer

3 weeks ago

Kozhikode, Kerala, India CustoBiz Full time

Job Title: MLE (FAS MLE – TS03)- Senior Machine Learning Engineer

Location: Hyderabad

Experience Required: 7+ Years

Relevant Exp Required: 7+ Years

Availability: Immediate joiners preferred

Job Description:

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services. 

Core Responsibilities:


• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.


• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.


• Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.


• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.


• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.


• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.


• Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.


• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.


• Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.


• Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.


• Participate in special projects and additional duties as assigned. 

Certifications:


• Undergraduate degree or equivalent experience; a graduate degree is preferred.


• Minimum of 8 years of relevant work experience.


• At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).


• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.


• Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.


• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.


• Experience with API design and development is a plus. Docker Kubernetes


• Solid understanding of software engineering principles, including design patterns, testing, security, and version control.


• Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.


• Understanding of solution architecture for building end-to-end machine learning data pipelines.

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